Project Info
Crowdsourcing for Identifying Sustainability Indicators
Sebnem Duzgun | duzgun@mines.edu
The project aims at determining data for the social pillar of sustainability indicators developed for extractive industries from crowdsourcing. We have a large set of indicators developed for measuring the extractive industries’ contribution to sustainable development. the student will work with a subset of the indicators and will use crowdsourcing techniques to obtain data for these indicators
More Information
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Grand Engineering Challenge: Engineer the tools of scientific discovery
Student Preparation
Qualifications
It would be good to read general methods for crowd-sourcing and data analytics
Time Commitment
15 hours/month
Skills/Techniques Gained
Data Analytics
Crowdsourcing
R, phython
Mentoring Plan
The student will join the research team with two faculty, one phd, attend weekly meetings.